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Strategic Data(RWD) Acquisition Manager
Salary not disclosed
Minneapolis, MN 4 days ago

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

Job Summary:

The Strategic Data(RWD) Acquisition Manager will be an integral part of Surescripts' data ecosystem by executing negotiations with Surescripts Network Alliance partners to secure data usage rights, while also identifying and acquiring new, strategic data sources. This person will play a critical role in maintaining access to high quality data necessary for the development of solutions that will deliver value and improve the experience for stakeholders across the healthcare ecosystem. This position requires a deep understanding of healthcare data, the regulatory landscape and business development experience to successfully negotiate and secure data agreements that will enhance our product portfolio.

Responsibilities:
  • Identify and evaluate potential data sources of interest that expand Surescripts' data portfolio. Create comprehensive value propositions for how the data could be used within Surescripts' solutions, and valuation of the data to make offers to data sources for data acquisition.
  • Drive business development efforts to secure agreements that enhance Surescripts' data portfolio. With guidance from leadership, execute strategies to identify and approach potential data partners, and successfully negotiate terms.
  • Collaborate with sales and product teams to develop strategies to align customer incentives with broader data-dependent initiatives. Interface with Surescripts Network Alliance partners to negotiate data usage rights, ensuring alignment with business goals and regulatory requirements.
  • Interface with data providers, industry partners, and other stakeholders.
  • Manage day-to-day data procurement-related inquiries and negotiations with data providers and customers.
  • Maintain a thorough understanding of privacy laws, including HIPAA permitted purposes. Collaborate with compliance, privacy, security, and data governance teams to ensure all data procurement activities comply with all state and federal regulations, internal policies, and customer contracts.
  • Monitor and report on data procurement activities. Track progress of data procurement efforts, report on key metrics, and provide regular updates to senior management. Proactively identify and address any challenges or obstacles in the procurement process. Monitor and evaluate the ROI of data acquisition initiatives to prioritize high-impact opportunities.
  • Keep up-to-date with the latest developments in data rights, privacy regulations, and the healthcare industry. Apply and share this knowledge to improve data procurement strategies and ensure the company remains compliant and competitive.

Qualifications:

Basic Requirements:

  • Bachelor's degree in Business, Economics, Data Science, or related field;
  • 8+ years of experience in business development and/or related experience in the procurement/acquisition of healthcare data.
  • Strong understanding of regulations around healthcare data, including Health Insurance Portability and Accountability Act (HIPAA) and Trusted Exchange Framework and Common Agreement (TEFCA).
  • Ability to evaluate the value and quality of data assets and their applicability to business needs.
  • Proven experience in negotiating contracts and managing vendor relationships.
  • Demonstrated success in business development and deal negotiation.
  • Excellent written and verbal communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Ability to travel for team, customer and vendor meetings as needed.
  • Strategic thinker with strong analytical and problem-solving abilities and results-driven mindset.

Preferred Qualifications:

  • MBA or advanced degree preferred in a related field.
  • Strong understanding of healthcare interoperability standards, such as Fast Healthcare Interoperability Resource (FHIR).
  • Strong understanding of electronic health records (EHR), pharmacy and claims data, health information exchanges (HIE), and TEFCA qualified health information networks (QHINs)
  • Familiarity with data governance tools (e.g. data mapping, lineage

#LI-remote

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now


We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $138,100 - $168,700 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location.


Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.

Physical and Mental Requirements

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.


Not Specified
CNB Bank, Data Engineer
Salary not disclosed
Clearfield, PA 3 days ago

Description

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines to support the bank's analytics, reporting, and decision-making processes. Working closely with analysts, reporting, integration teams and business stakeholders to ensure high-quality, secure, and efficient data solutions that comply with financial regulations and industry standards.


Below is a list of essential functions of this position. Additional responsibilities may be assigned in the position.


KEY RESPONSIBILITIES

  • Build and maintain data models, schemas, and databases (e.g., data warehouses, data lakes) to support business intelligence, machine learning, and reporting needs.
  • Ensure data is optimized for performance, reliability, and scalability, minimizing latency and maximizing throughput.
  • Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using cloud and SQL technologies
  • Implement data quality checks, monitoring, and validation processes to ensure accuracy, consistency, and compliance with regulatory requirements.
  • Partner with business analyst, data Integration, Automation, and IT Teams to understand data requirements and deliver solutions that align with business goals.
  • Ensure data adherence to strict security protocols and regulatory standards including encryption, access controls, and audit trails.
  • Champion data governance, quality standards, and performance optimization.
  • Create and maintain comprehensive documentation for data schemas, processes and systems to ensure transparency and reproducibility.


ATTITUDES


Builds positive relationships with internal and external clients by valuing other's feelings and rights in both words and actions, and embracing other's unique beliefs, backgrounds, and perspectives by demonstrating:

  • Respect - treat every client and colleague with dignity and respect.
  • Client Focus - Design scalable and reliable data pipelines that directly support the client's business goals and decision-making needs. Actively engage with stakeholders to understand evolving requirements and deliver solutions that provide timely, actionable insights
  • Inclusion - Support a diverse work environment by building data systems that are accessible, equitable, and considerate of user needs, while actively seeking input from voices across all backgrounds and roles.


BEHAVIORS


Demonstrates strong business ethics and honest behaviors and the ability to positively influence and work with others to achieve excellent results by demonstrating:

  • Leadership - Proactively drives data strategy, mentoring peers, and sets high standards for quality, innovation, and collaboration across teams.
  • Integrity - Establish and enforce program governance frameworks, including change control and release management.
  • Collaboration - Works with stakeholders across all departments to drive data efforts. Serves as a key contributor between business stakeholders and technical teams.
  • Volunteerism - Use your skill beyond the role by mentoring others, helping teammates, and supporting meaningful causes.


COMPETENCIES


Reflects skill, good judgement, positive conduct, and personal responsibility for assigned areas. Seeks to implement and leverage services and technologies that create efficiencies by demonstrating:

  • Accountability - Takes ownership of work, ensuring data systems are reliable and accurate. Promptly addresses issues or errors with transparency and responsibility.
  • Innovation - Embrace new ideas, new tools, and bold thinking; challenge the status quo.
  • Professionalism - consistently demonstrates courteous behavior, integrity, and strong work ethic while representing the bank with a polished appearance and clear communication.


POSITION LEVEL(S) EXPECTATIONS

  • Strong understanding of Data Models, databases, schemas, and security methodologies.
  • Excellent leadership, strategic thinking, and stakeholder management skills.


SEEKS PROFESSIONAL DEVELOPMENT OPPORTUNITIES


Actively participate in expanding skill sets and career paths by attending training programs, workshops, certifications, and educational resources relevant to the role. Set stretch assignments and cross functional opportunities that foster growth and learning.


Requirements

QUALIFICATIONS, EDUCATION, & EXPERIENCE


To perform this position successfully, an individual must be able to perform each essential position requirement satisfactorily, and a skills inventory is listed below.

  • Bachelor's degree in a technology related program or 3-5 years' experience a data related field.
  • Strong understanding of data architecture and data base design principles.
  • Strong leadership and communication skills across technical and non-technical audiences.
  • 3-5 Years experience in Data roles.
  • Proficiency in languages such as Python, Java, Scala, or SQL.
  • Experience in financial services (banking, insurance, wealth management).
  • Excellent problem-solving and communication skills, with a collaborative mindset.
  • Demonstrated leadership and self-direction.
  • A background screening will be conducted.


LANGUAGE SKILLS: Ability to read, comprehend, and interpret documents. Possesses professional communication and interpersonal skills to write and speak effectively both one-on-one and before groups of clients or employees of the organization. Ability to communicate to clients directly and effectively.

TECHNOLOGY SKILLS: Ability to utilize telephone systems and possess good digital literacy including email, internet and intranet use. Strong understanding of Salesforce platform capabilities and implementation methodologies.

MATHEMATICAL SKILLS: Ability to add, subtract, multiply, and divide in all units of measure.

REASONING ABILITY: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to solve challenging problems involving several variables in a standardized situation.

PHYSICAL DEMANDS AND WORK ENVIRONMENT: The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this position.


This position operates in a professional office environment with considerable time spent at a desk using office equipment such as computers, phones, and printers. Ability to travel on occasion to all market areas and attend seminars or training sessions offsite and employee meetings off-site.


Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.


DISCLAIMER: This job description is not an exclusive list of responsibilities and duties. They may change at any time without notice.


BENEFITS

  • Medical, Dental, Vision & Life Insurance
  • 401K with company match
  • Paid Time Off & Recognized Holidays
  • Leave policies
  • Voluntary Benefit Options (Life, Accident, Critical Illness, Hospital Indemnity & Pet)
  • Employee Assistance Program
  • Employee Health & Wellness Program
  • Special Loan and Deposit Rates
  • Gradifi Student Loan Paydown Plan
  • Rewards & Recognition Programs and much more!

Eligibility requirements apply.


CNB Bank is an equal opportunity employer and all applicants are considered based on qualifications without regard to sex, race, color, ancestry, religious creed, national origin, sexual orientation, gender identity, physical disability, mental disability, age, marital status, disabled veteran or Vietnam era veteran status. CNB Financial Corporation is an Affirmative Action Employer and is committed to fostering, cultivating and preserving a culture of diversity and inclusion.


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Not Specified
Data Engineering Manager
Salary not disclosed
Green Bay, WI 3 days ago
At Nicolet National Bank, our culture is based on the principles of community banking, putting the needs of our customers at the forefront of our decision-making. Our Core Values drive everything we do, and we are committed to serving our customers with excellence. We believe that every job in our organization is critical to our success, and we are dedicated to creating a work environment where our employees feel valued, respected, and supported. With locations in Wisconsin, Michigan, Minnesota, Iowa, Colorado, and Florida we are proud to service our local communities and make a positive impact on the lives of our customers. At Nicolet National Bank, we believe that our people are our most valuable asset, and we are committed to investing in their growth and development.

The Data Engineering Manager is responsible for leading and developing a team of Data Architects and Data Solutions Engineers while actively contributing to hands-on technical projects. This role will manage the data warehouse in Snowflake, engineering automations in Alteryx and/or other solutions, while ensuring efficient project intake and prioritization. The ideal candidate combines strong technical expertise with proven technical leadership skills to drive innovation and operational excellence across the data engineering function.

As a Data Engineering Manager, you will:


  • Set the technical strategy for data engineering solutions and data architecture which includes end to end data pipeline strategy, consumption management, project scoping, and data automation.
  • Design, develop, and optimize data engineering solutions using Snowflake, DBT, Azure Data Factory, and Alteryx.
  • Continuously assess and optimize the data engineering technology stack to ensure scalability, performance, and alignment with industry best practices.
  • Implement best practices for data modeling, ETL/ELT processes, and automation.
  • Own and maintain the Snowflake data warehouse roadmap and engineering standards.
  • Lead data project scoping, prioritization, and resource allocation to ensure timely delivery of data engineering solutions.
  • Ensure data integrity, security, and compliance across all engineering solutions.
  • Collaborate with IT and rest of data teams to align solutions with enterprise
  • Establish documentation and governance standards for data engineering workflows ensuring completeness, audit readiness, and traceability in alignment with enterprise architecture.
  • Directly supervise the Data Architecture & Data Engineering team in accordance with Nicolet's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching, mentoring and development planning; rewarding and disciplining employees; addressing complaints and resolving problems.


Qualifications:


  • Bachelor's degree in Computer Science, Data Engineering, Data Analytics or related field.
  • 7+ years in data engineering or related data roles required.
  • 3+ years in leadership or management positions required.
  • Strong technical expertise in Snowflake, DBT, Azure Data Factory and SQL or like systems.
  • Familiarity with Alteryx, UiPath, Tableau, Power BI and Salesforce is preferred.
  • Ability to design and implement scalable data solutions.
  • Excellent leadership, communication, and organizational skills
  • Ability to balance hands-on development with team development.
  • Must be able to work fully in-office. This position does not allow for remote work.


Benefits:


  • Medical, Dental, Vision, & Life Insurance
  • 401(k) with a company match
  • PT0 & 11 1/2 Paid Holidays


The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities and skills required for the position.

Equal Opportunity Employer/Veterans/Disabled
Not Specified
Sr. Manager Data Governance
Salary not disclosed
Richardson, TX 3 days ago

Title:Sr. Manager Data Governance

Location: Richardson, TX Hybrid

Duration: 6 months possibility of FTE conversion yes

JOB SUMMARY



This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes




  • Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
  • Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
  • Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
  • Serve as the data governance champion of strategic data products and supporting metadata and reference data.
  • Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.


ESSENTIAL DUTIES AND RESPONSIBILITIES




  • Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
  • Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
  • Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
  • Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
  • Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
  • Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
  • Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
  • Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
  • Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
  • Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
  • Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
  • Develop and implement metrics needed to monitor/ report on data governance and data management progress
  • Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
  • Performs other duties as assigned.


SUPERVISORY RESPONSIBILITIES



Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.



QUALIFICATIONS



To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.



Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.



EDUCATION and EXPERIENCE



Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.




  • 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
  • 5 or more years of related experience in related industry; commercial real estate management preferred.
  • 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
  • Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
  • Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.




  • Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.


CERTIFICATES and/or LICENSES



None



COMMUNICATION SKILLS




  • Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
  • Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
  • Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
  • Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
  • Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections


FINANCIAL KNOWLEDGE




  • Requires basic knowledge of financial terms and principles.
  • Participates in complex financial/business analysis and report reviews prepared peers or leaders.
  • Manages to and oversees department budget.


REASONING ABILITY




  • Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.

    • Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
    • Demonstrated ability to balance long-term strategy with quick wins.
    • Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
    • Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
    • Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
    • Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
    • Ability to tell a story to explain or sell a concept.




OTHER SKILLS and/or ABILITIES




  • Utilizes an entrepreneurial approach and develops innovative solutions.
  • Ability to write business cases, process maps, presentation materials and articles using distinctive style.
  • Ability to make effective and persuasive presentations on complex topics across various levels of leadership
  • Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
  • Ability to use strong conceptual and analytical skills to generate insights and recommendations.
  • Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
  • Experience managing small to mid-size teams and delivering results.
  • Thorough knowledge of cutting-edge data management tools, industry advances, etc.
  • Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
  • Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
  • Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
  • Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
  • Skills in MS Visio, Word and PowerPoint is a plus.
  • Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
  • Software development lifecycle knowledge, with background in agile philosophies and
Not Specified
Staff Software Engineer, Conversion Data Privacy
Salary not disclosed
San Francisco, CA 2 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission


The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.



Role Summary


We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.



What you'll do:



  • Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  • Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  • Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  • Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  • Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  • Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  • Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.


What we're looking for:



  • BS+ in Computer Science (or related field) or equivalent practical experience.
  • 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  • Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  • Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  • Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  • Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  • Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.


In-Office Requirement Statement:



  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-REMOTE


#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$177,185—$364,795 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Data Governance Program Manager
✦ New
Salary not disclosed
Lincoln, NE 4 hours ago

Summary



GENERAL SUMMARY:



Responsible for the establishment and maintenance of Bryan Healths data governance program and infrastructure. As the organizations data governance champion, collaborates with leaders and data stewards across Bryan Health to develop, implement, and execute the organizations data and AI governance strategies, policies, and procedures.



As a critical part of Bryans Data Analytics Center of Excellence, recommends data governance policies to entity governance for review and approval, while working with IT and key business units to constantly improve data definitions, integrity, security, and reliability, ensuring high-quality inputs for analytics and AI models.



PRINCIPAL JOB FUNCTIONS:



1. *Commits to the mission, vision, beliefs and consistently demonstrates our core values.



2. *Participates in or supports work stream planning process.



3. *Effectively communicates with executive sponsors, project advocates, leaders, and data stewards to help them understand and apply policy and principles of data governance while ensuring that deliverables meet business requirements.



4. *Develops and plays a hands-on role in operationalizing an organization-wide data governance strategy, framework and roadmap that aligns with the organizations overall data, analytics, AI, and data security strategy.



5. *Defines and enforces data standards, data classification, and data protection guidelines to ensure consistent and reliable data across systems, processes, and business units.



6. Translates Data and AI governance policies and standards into actionable strategies and implementable solutions, ensuring practical application and demonstratable impact on data reliability.



7. *Develops and implements policies and standards for managing data used in AI models to ensure quality, security, privacy, and compliance with relevant regulations.



8. *Collaborates with business stakeholders, data owners and data stewards to establish data governance roles, responsibilities, and accountabilities within the organization.



9. *Collaborates with data science and AI/ML teams to ensure the reliability of data used in AI training, validation, and deployment.



10. Aligns data governance policies with AI development lifecycle, ensuring proper data stewardship and governance throughout the AI project lifecycle.



11. *Conducts assessments to identify data issues, gaps, and opportunities for improvement.



12. *Provides guidance and training to business users and data stewards on data governance policies, procedures, and best practices.



13. *Collaborates with Data Council, Advisory Teams, and other governance groups for program oversight and issue resolution.



14. Identifies and mitigates risks related to AI data, including bias, fairness, and privacy concerns, to support responsible AI practices.



15. Works closely with Data Analytics and IT to design and implement data governance tools, technologies, and platforms to provide data quality checks, data cataloging, and data lineage tracking.



16. Stays up to date with AI and data governance industry trends, emerging technologies, regulatory changes, and standards around the evolving legal, ethical, and technological standards related to AI and data governance, and proactively recommends improvements and enhancements to governance frameworks.



17. Ensures that data used in AI systems complies with data privacy laws and organizational policies and maintains auditability of AI data pipelines.



18. Engages and advises the Bryan Data Analytics Council on project prioritization and other agenda items as needed.



19. Develops effective collaborative relationships with stakeholders across the Bryan Health System.



20. Works with executive sponsors and project advocates to ensure products meet business requirements.



21. Collaborates with other teams and leaders to ensure resources and priorities align with Data Council guidance.



22. Establishes effective relationships with clients and provides leadership for all data governance at Bryan.



23. Maintains professional growth and development through seminars, workshops, and professional affiliations to keep abreast of latest the latest trends in field of expertise. Keeps abreast of industry news and trends.



24. Effectively facilitates and participates on multi-disciplinary teams; attends and participates in project meetings and activities.



25. Performs other related projects and duties as assigned.



(Essential Job functions are marked with an asterisk *).



REQUIRED KNOWLEDGE, SKILLS AND ABILITIES:



1. Expert knowledge in principals of data governance and data governance program design.



2. Highly proficient in data governance concepts and application (metadata management, data quality, stewardship, etc.).



3. Knowledge of AI and AI governance.



4. Knowledge of health care market and industry trends.



5. Knowledge of computer hardware equipment and software applications relevant to work functions.



6. Strong skills in problem solving and process improvement.



7. Excellent communication skills and ability to explain complex topics to non-technical audiences.



8. Strong ability in program and project management.



9. Ability to perform crucial conversations with desired outcomes.



10. Ability to communicate effectively both verbally and in writing.



11. Ability to establish and maintain effective working relationships with all levels of personnel and medical staff.



12. Ability to effectively interact with clients that have a broad range of computer knowledge and ability.



13. Ability to plan for and act on changes in the business and market environment that impact current business plans and processes.



14. Ability to problem solve and engage independent critical thinking skills.



15. Ability to prioritize work demands and work with minimal supervision.



16. Ability to maintain confidentiality relevant to sensitive information.



17. Ability to maintain regular and punctual attendance.



EDUCATION AND EXPERIENCE:



Bachelors degree in Data Science, Data Management, Analytics, Computer Science, Public Health, Hospital Administration, Business, or related field required. Masters degree preferred. Five (5) years of related work experience required. Prior project leadership experience (formal or informal) required. Prior data governance experience highly preferred. Prior Epic experience preferred.



OTHER CREDENTIALS / CERTIFICATIONS:



Epic Cogito Fundamentals and Cogito Project Manager certification preferred. Epic certification in Cogito Fundamentals and Cogito Project Manager required within six (6) months of hire.



PHYSICAL REQUIREMENTS:



(Physical Requirements are based on federal criteria and assigned by Human Resources upon review of the Principal Job Functions.)



(DOT) Characterized as sedentary work requiring exertion of up to 10 pounds of force occasionally and/or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body.

Not Specified
Databricks Architect/ Senior Data Engineer
🏢 OZ
Salary not disclosed
Boca Raton, FL 2 days ago

OZ – Databricks Architect/ Senior Data Engineer


Note: Only applications from U.S. citizens or lawful permanent residents (Green Card Holders) will be considered.


We believe work should be innately rewarding and a team-building venture. Working with our teammates and clients should be an enjoyable journey where we can learn, grow as professionals, and achieve amazing results. Our core values revolve around this philosophy. We are relentlessly committed to helping our clients achieve their business goals, leapfrog the competition, and become leaders in their industry. What drives us forward is the culture of creativity combined with a disciplined approach, passion for learning & innovation, and a ‘can-do’ attitude!


What We're Looking For:

We are seeking a highly experienced Databricks professional with deep expertise in data engineering, distributed computing, and cloud-based data platforms. The ideal candidate is both an architect and a hands-on engineer who can design scalable data solutions while actively contributing to development, optimization, and deployment.


This role requires strong technical leadership, a deep understanding of modern data architectures, and the ability to implement best practices in DataOps, performance optimization, and data governance.


Experience with modern AI/GenAI-enabled data platforms and real-time data processing environments is highly desirable.


Position Overview:

The Databricks Senior Data Engineer will play a critical role in designing, implementing, and optimizing enterprise-scale data platforms using the Databricks Lakehouse architecture. This role combines architecture leadership with hands-on engineering, focusing on building scalable, secure, and high-performance data pipelines and platforms. The ideal candidate will establish coding standards, define data architecture frameworks such as the Medallion Architecture, and guide the end-to-end development lifecycle of modern data solutions.


This individual will collaborate with cross-functional stakeholders, including data engineers, BI developers, analysts, and business leaders, to deliver robust data platforms that enable advanced analytics, reporting, and AI-driven decision-making.


Key Responsibilities:

  • Architecture & Design: Architect and design scalable, reliable data platforms and complex ETL/ELT and streaming workflows for the Databricks Lakehouse Platform (Delta Lake, Spark).
  • Hands-On Development: Write, test, and optimize code in Python, PySpark, and SQL for data ingestion, transformation, and processing.
  • DataOps & Automation: Implement CI/CD, monitoring, and automation (e.g., with Azure DevOps, DBX) for data pipelines.
  • Stakeholder Collaboration: Work with BI developers, analysts, and business users to define requirements and deliver data-driven solutions.
  • Performance Optimization: Tune delta tables, Spark jobs, and SQL queries for maximum efficiency and scalability.
  • GenAI Applications Development: It is a big plus to have experience in GenAI application development


Requirements:

  • 8+ years of experience in data engineering, with strong hands-on expertise in Databricks and Apache Spark.
  • Proven experience designing and implementing scalable ETL/ELT pipelines in cloud environments.
  • Strong programming skills in Python and SQL; experience with PySpark required.
  • Hands-on experience with Databricks Lakehouse, Delta Lake, and distributed data processing.
  • Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP (Azure preferred).
  • Experience with CI/CD pipelines, Git, and DevOps practices for data engineering.
  • Strong understanding of data architecture, data modeling, and performance optimization.
  • Experience working with cross-functional teams to deliver enterprise data solutions.
  • Tackles complex data challenges, ensuring data quality and reliable delivery.


Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • Experience designing enterprise-scale data platforms and modern data architectures.
  • Experience with data integration tools such as Azure Data Factory or similar platforms.
  • Familiarity with cloud data warehouses such as Databricks, Snowflake, or Azure Fabric.
  • Experience supporting analytics, reporting, or AI/ML workloads is highly desirable.
  • Databricks, Azure, or cloud certifications are preferred.
  • Strong problem-solving, communication, and technical leadership skills.


Technical Proficiency in:

  • Databricks, Apache Spark, PySpark, Delta Lake
  • Python, SQL, Scala (preferred)
  • Cloud platforms: Azure (preferred), AWS, or GCP
  • Azure Data Factory, Kafka, and modern data integration tools
  • Data warehousing: Databricks, Snowflake, or Azure Fabric
  • DevOps tools: Git, Azure DevOps, CI/CD pipelines
  • Data architecture, ETL/ELT design, and performance optimization


What You’re Looking For:

Join a fast-growing organization that thrives on innovation and collaboration. You’ll work alongside talented, motivated colleagues in a global environment, helping clients solve their most critical business challenges. At OZ, your contributions matter – you’ll have the chance to be a key player in our growth and success. If you’re driven, bold, and eager to push boundaries, we invite you to join a company where you can truly make a difference.


About Us:

OZ is a 28-year-old global technology consulting, services, and solutions leader specializing in creating business-focused solutions for our clients by leveraging disruptive digital technologies and innovation.


OZ is committed to creating a continuum between work and life by allowing people to work remotely. We offer competitive compensation and a comprehensive benefits package. You’ll enjoy our work style within an incredible culture. We’ll give you the tools you need to succeed so you can grow and develop with us and become part of a team that lives by its core values.

Not Specified
Data Engineer
Salary not disclosed
East Windsor, NJ 2 days ago

Junior Data Engineer

Location: East Windsor, New Jersey

E-Verified | Visa Sponsorship Available


About Us:

BeaconFire, based in Central NJ, is a fast-growing company specializing in Software Development, Web Development, and Business Intelligence. We're looking for self-motivated and strong communicators to join our team as a Junior Data Engineer!


If you're passionate about data and eager to learn, this is your opportunity to grow in a collaborative and innovative environment.


Qualifications We’re Looking For:

  • Passion for data and a strong desire to learn and grow.
  • Master’s Degree in Computer Science, Information Technology, Data Analytics, Data Science, or a related field.
  • Intermediate Python skills (Experience with NumPy, Pandas, etc. is a plus!)
  • Experience with relational databases like SQL Server, Oracle, or MySQL.
  • Strong written and verbal communication skills.
  • Ability to work independently and collaboratively within a team.


Your Responsibilities:

  • Collaborate with analytics teams to deliver reliable, scalable data solutions.
  • Design and implement ETL/ELT processes to meet business data demands.
  • Perform data extraction, manipulation, and production from database tables.
  • Build utilities, user-defined functions, and frameworks to optimize data flows.
  • Create automated unit tests and participate in integration testing.
  • Troubleshoot and resolve operational and performance-related issues.
  • Work with architecture and engineering teams to implement high-quality solutions and follow best practices.


Why Join BeaconFire?

  • E-Verified employer
  • Work Visa Sponsorship Available
  • Career growth in data engineering and BI
  • Supportive and collaborative work culture
  • Exposure to real-world, enterprise-level projects


Ready to launch your career in Data Engineering?

Apply now and let’s build something amazing together!

Not Specified
Warehouse Associate (Data Center)
Salary not disclosed
Fairfax County, VA 2 days ago

This is a great opportunity for anyone with construction, fabrication, or trade experience (or just a strong work ethic and willingness to learn) to launch a stable career with growth potential.


What You’ll Do as a Field Technician – Entry-Level (Construction / Data Centers)

As a Field Technician, you’ll:

  • Install, assemble, and modify containment systems that improve cooling efficiency in data centers
  • Perform specialized cleaning and decontamination of equipment and areas to keep facilities running at peak performance
  • Assist with deliveries, organize materials, and maintain tools and equipment
  • Follow direction from supervisors to complete tasks safely, accurately, and on time
  • Identify and report potential risks, always prioritizing safety
  • Represent the company professionally with clients and team members


What We’re Looking For in a Field Technician – Entry-Level (Construction / Data Centers)

  • 0–2 years of construction, technician, or trade experience (data center experience is a plus)
  • U.S. citizenship or naturalized citizen, 18+ years old
  • Reliable transportation to job sites
  • Able to pass a background check and drug screen
  • Comfortable working at heights, around noise, and in temperatures from 0–100°F+
  • Physically able to lift 50 lbs and stay on your feet most of the day
  • Positive attitude, strong work ethic, and good communication skills


Schedule & Pay for Field Technician – Entry-Level (Construction / Data Centers)

  • Monday–Friday, 6:00 AM to 3:00 PM (overtime available)
  • Full-time, on-site role
  • Competitive hourly pay with overtime opportunities
  • Full training, safety gear (PPE), and on-the-job mentorship provided


Why Join Us?

  • Be part of the growing data center industry
  • Gain hands-on technical skills with full training
  • Work with a supportive team in a professional environment
  • Build a career with opportunities for advancement


Apply today and start your career in data center construction with a growing technology company!

Not Specified
Exceptions Specialist - Data Entry
Salary not disclosed

Exceptions Specialist - Data Entry (Political Campaign Support)

Position Type : Contract

Payrate : $22/hr

Work Location

100% On-site in WestLake Village, CA.


Shifts

  1. PM : Mon-Fri: 4 pm – 11:45 pm PST
  2. AM : Mon-Fr - 8am - 5pm PST
  3. Weekends - 8am - 5pm PST.

Position Summary

In this Exceptions role with Campaign Offices, you are the final line of defense for data accuracy. You will review voter signature packets and data entry to spot issues, connect the dots, and decide the correct next step in processing. This is a fast-paced, detail driven role for someone who enjoys solving puzzles, thinking critically, and using deductive reasoning to get to the right answer.

If you like investigating discrepancies, catching what others miss, and making clear decisions based on criteria, you will do well here.


What You Will Do

  • Review and compare entered data against original source materials to identify errors, mismatches, and exceptions
  • Apply deductive reasoning to determine what happened, why it happened, and what action should be taken next
  • Use proprietary software and established criteria to resolve exceptions and keep work moving efficiently
  • Investigate patterns and root causes behind recurring issues and document your findings
  • Communicate clear feedback and insights that help prevent future exceptions
  • Manage physical and digital materials with accuracy, organization, and urgency
  • Work independently while collaborating with the team to hit daily goals and maintain quality standards


What We Are Looking For

  • Strong deductive reasoning skills and the ability to make accurate decisions using logic and evidence
  • High attention to detail and commitment to getting it right the first time
  • Ability to stay focused in a fast-paced environment with repetitive work that requires consistency
  • Strong organizational skills and material management
  • Clear communication skills and a team-first attitude
  • Comfort using software tools for data entry, review, and analysis
  • Experience in data entry, quality assurance, compliance, or audit-type work is a plus


Contract Details

  • 5-month contract assignment paid on an hourly basis
  • Full-time schedule with consistent hours (AM or PM Shifts available)
  • Work that directly supports a high-impact, time-sensitive campaign operation


What you get:

• Full-time 40 hours per week

• Health benefits with low premiums

• A chance to support meaningful work with a team that moves fast and values accuracy

Not Specified
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